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Yulu logo — Yulu Recommendation Systems Intern in Coimbatore, Tamil Nadu
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Recommendation Systems Intern

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Location

Coimbatore, Tamil Nadu

Work Mode

In Office

Duration

3 months

Stipend

₹30,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Machine Learning

Apply Now — ₹30,000/moApply on Company Website ↗

About the Internship

Start your career in recommendation and personalisation systems with Yulu as a Recommendation Systems Intern in Coimbatore. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a Recommendation Systems Intern at…

About Yulu

Yulu offers a mentor-led Recommendation Systems Intern in Coimbatore with live project work in machine learning, a stipend of ₹30,000/month and a Pre-Placement Offer opportunity for strong performers.
Coimbatore, Tamil NaduVerified employer3 openings
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Skills Required

Recommendation SystemsCollaborative FilteringPythonRanking ModelsEmbeddingsA/B TestingSQLCold-Start HandlingEvaluation (NDCG / CTR)Feature Engineering

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT), MCA, M.Sc (CS / Statistics) or M.Tech who are based in or willing to work from Coimbatore. You should be keen to learn Recommendation Systems, Collaborative Filtering, Python on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3HR discussion — stipend, start date, expectations and offer
30,000/month

Stipend · 3 months

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Openings3 positions
Applicants0 applied
ModeIn Office
CategoryMachine Learning
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